• Journal of the Korean Society of Costume
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• v.54 no.6
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• pp.77-90
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• 2004

The purpose of this study was to provide basic information requisite in the new sizing system for gloves. KS glove standards' size dimensions, size designation and labeling systems were analyzed. Also, KS glove standards' control sizes were compared to the anthropometric data of 824 Korean adults taken in the previous study. As well, the ISO hand size system was also compared to the anthropometric data of the previous study according to frequency tables of hand length and hand circumference. The size dimensions showed differences among KS standards and there was no size designation and labeling systems existed in KS standards. Among KS glove size systems, protective rubber gloves for radioactive contamination and surgical rubber gloves' size which followed ISO system were accurately indicate the hand size of the person a glove is intended to fit. ISO glove sizing system comprised the control dimensions of hand length and hand circumference. The coverage of ISO size A was 84.8% which was highest among ISO size A. B, C. And in hand circumference 178, 191, 203, 216mm showed the frequencies above 3% and in hand length 167, 175. 183, 191, 199mm showed the frequencies above 3%.

• Journal of Institute of Control, Robotics and Systems
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• v.19 no.12
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• pp.1138-1144
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• 2013

This paper proposes a tactile transfer and display method between a data glove and vibration motors module. The data glove is developed to capture the hand postures and to measure the grip forces. The measured data are simplified with the proposed 5-bit transfer and display algorithm, and the vibration motors module is developed to display the measured hand posture and grip force to the operator. The proposed 5-bit algorithm contains both an 8-step hand posture and 4-step grip force level information for tactile transfer to the vibration motors module. Also, the effectiveness of the proposed method is shown through several experiments.

• Proceedings of the Korea Information Processing Society Conference
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• 2012.11a
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• pp.284-287
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• 2012

GLOVE(GLObal Virtual reality visualization Environment for scientific simulation)는 컴퓨팅 자원의 성능 향상으로 데이터 양이 급속히 증가한 응용 과학과 전산 시뮬레이션 분야의 대용량 과학 데이터를 효율적으로 가시화하여 분석하기 위한 도구이다. GLOVE의 데이터 관리자인 GDM(GLOVE Data Manager)은 대용량 데이터의 분산 병렬 가시화를 위해 분산 공유 메모리를 제공하는 GA(Global Array)를 이용해 테라 바이트 단위의 데이터를 실시간으로 처리한다. 그러나 대용량 과학 데이터를 가시화 하는 과정에서 기존의 Data Locality를 고려하지 않은 데이터 접근 방식으로 인한 성능 저하를 확인했다. 본 논문은 기존 GLOVE에서 발견한 성능 저하 현상을 밝히고, 이에 대한 해결 방법을 제시한다.

• Smart Media Journal
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• v.8 no.4
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• pp.53-57
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• 2019

In this paper, we propose a flex sensor-based data glove to track the movements of human fingers for virtual reality education. By putting flex sensors and utilizing an accelerometer, this data glove allows people to enjoy applications for virtual reality (VR) or augmented reality (AR). With the maximum and minimum values of the flex sensor at each finger joint, it determines an angle corresponding to the bending value of the flex sensor. It tracks the movements of fingers and hand gestures with respect to the angle values at finger joints. In order to prove the effectiveness of the proposed data glove, we implemented a VR classroom application.

• Proceedings of the Korean Society of Precision Engineering Conference
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• 2001.04a
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• pp.211-216
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• 2001

Recently, the research for the mobile computing such as PDA, Palm PC and wearable computing related technologies is widely under development, specially for the input device. Among the mobile input methods are speech recognition, handwriting recognition and cording type. However these systems have the problems of the data input appraratus like input speed and recognition rate. This paper presents the Glove-based input device which could solve the system's data input problem. By the experimental results suggest the method of proposional input method that utilize the hand's movement is appropriate for the effective mobile input devices.

• Journal of Institute of Control, Robotics and Systems
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• v.17 no.10
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• pp.1014-1020
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• 2011

This presents a motion and force estimation system of human fingers by using an Electromyography (EMG) sensor module and a data glove system to be proposed in this paper. Both EMG sensor module and data glove system are developed in such a way to minimize the number of hardware filters in acquiring the signals as well as to reduce their sizes for the wearable. Since the onset of EMG precedes the onset of actual finger movement by dozens to hundreds milliseconds, we show that it is possible to predict the pattern of finger movement before actual movement by using the suggested system. Also, we are to suggest how to estimate the grasping force of hand based on the relationship between RMS taken EMG signal and the applied load. Finally we show the effectiveness of the suggested estimation system through several experiments.

• KIPS Transactions on Software and Data Engineering
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• v.5 no.6
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• pp.273-282
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• 2016

Visualization tool can be divided by three components - data I/O, visual transformation and interactive rendering. In this paper, we present requirements of three major components on visualization tools for massive scientific dataset and propose strategies to develop the tool which satisfies those requirements. In particular, we present how to utilize open source softwares to efficiently realize our goal. Furthermore, we also study the way to combine several open source softwares which are separately made to produce a single visualization software and optimize it for realtime visualization of massiv espatio-temporal scientific dataset. Finally, we propose a distributed shared memory based scientific visualization tool which is called "GLOVE". We present a performance comparison among GLOVE and well known open source visualization tools such as ParaView and VisIt.

• Journal of the Korean Society for Precision Engineering
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• v.17 no.7
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• pp.209-216
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• 2000

Recently, Wearable Computers have been applied to medical equipments, inspection system, military and various fields of industries. To support the various application of wearable computer, many researches into the input device for wearable computer have been executed. This paper describes the glove-like hand input system for wearable computer. the characteristics of sensed values, and coupling effects between each sensor. Using these characteristics and coupling effects, the general relation between flexion angles of joints and the values from sensors are proposed as exponential functions. Also, the error range of sensed values is proposed and the glove-like hand input system is calibrated as well by the experiments.

• Journal of Fashion Business
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• v.27 no.4
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• pp.21-37
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• 2023

This study aimed to classify the hand types of adult males aged 20 to 69 years using three-dimensional measurement data from the 2020 8th Korean Anthropometric Survey, the latest measurement data from the National Institute of Standards and Technology Size Korea, and explore the characteristics of each type. Through this, I aimed to draw implications for the development of work gloves. The factors that make up an adult male's hand were categorized into hand and finger thickness factors, palm length factors, and finger length factors. Adult male hands were categorized into four types: small, thin hands and long fingers; thick, long fingers; medium, short hands and fingers; and large, thin, short fingers. The analysis showed that the younger the age, the more slender and long the hands and fingers, and as age increased, hands and fingers became shorter and thicker. Implications for the development of work gloves included the need for size segmentation based on the age of the work glove user, changes in the way glove dimensions are set based on hand length and hand circumference, and the need to segment gloves by the type of work. Hand typing in future research should be done according to occupational groups, and glove patterns should be developed for each type of work based on the results of this study.

• Korean Journal of Adult Nursing
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• v.26 no.1
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• pp.98-106
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• 2014

Purpose: The purpose of this study was to explore the effect of glove changing during surgery for colon cancer on reducing the degree of contamination of surgical gloves. Methods: The randomized posttest control group design was used. Total 72 surgeries of colon cancer in the K University Hospital in Seoul performed by the team of A-Surgeon and B-Scrub nurse were randomly assigned to one of the three groups. Glove changing with single-gloved state was implemented in the Experimental Group I and outer glove changing with double-gloved state was executed in the Experimental Group II. Single-gloved state was carried in the Control Group. Following the surgical procedure, specimens for bacterial culture were collected the from scrub nurse's gloves to compare the degree of contamination among the three groups. Data were analyzed with One-way ANOVA and the Scheff$\acute{e}$'s multiple comparison test. Results: The degrees of contamination of the Experimental Group I and II were significantly lower than that of the Control Group. There was no significant difference between Experimental Group I and II. Conclusion: Glove changing during surgery with either single or double-gloved state is effective in reducing the degree of contamination of surgical gloves, therefore these methods should be utilized in clinical practice.